Research and Practice of AI Talent Cultivation Model Based on Huawei Ascend Platform

随着人工智能(AI)技术的迅猛发展,对专业人才的需求日益增长。论文以天津师范大学电子与通信工程学院/人工智能学院与华为昇腾平台的合作为例,探讨国产化AI人才培养模式的研究与实践。论文首先分析了国内外AI人才培养的现状,指出国内教育存在课程体系理论化、实践资源不足等问题;其次,阐述了华为昇腾平台在全面开发支持、高性能计算、开放生态及教育资源整合等方面的技术优势;进而提出“课程体系–教学方法–师资建设–实践平台”的人才培养模式,包括融合昇腾技术的专业课程设计、项目驱动与案例教学法、校企协同的师资培养,以及基于“众智计划”与竞赛的实践体系。实践表明,该模式有效提升了学生的工程能力与国产技术应用水平。With the rapid development of artificial intelligence (AI) technology, the demand for AI professionals has been growing significantly. This paper takes the collaboration between College of Electronic and Communication Engineering/College of Artificial Intelligence of Tianjin Normal University and Huawei’s Ascend platform as a case study to explore the research and practice of cultivating domestic AI talent. The paper first analyzes the current state of AI talent cultivation domestically and internationally, pointing out issues in China’s education system such as overly theoretical curricula and insufficient practical resources. Secondly, it elaborates on the technical advantages of Huawei’s Ascend platform, including comprehensive development support, high-performance computing capabilities, an open ecosystem, and integrated educational resources. Building on this foundation, the paper proposes a talent cultivation model encompassing “curriculum system-teaching methods-faculty development-practical platforms”. This model includes: professional course design integrated with Ascend technology, project-driven and case-based teaching approaches, industry-academia collaborative faculty development, and a practical system based on Huawei’s “Collective Intelligence Plan” and competition platforms. The practice has demonstrated that this model effectively enhances students’ engineering competencies and proficiency in domestic technology applications.

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Publication Details

Journal
Creative Education Studies
Published
2025-01-01
DOI
https://doi.org/10.12677/ces.2025.135357
Primary Topic
Big Data Technologies and Applications
Type
article
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article

Research and Practice of AI Talent Cultivation Model Based on Huawei Ascend Platform

亮 韩
Creative Education Studies
Big Data Technologies and Applications
article

Research and Practice of AI Talent Cultivation Model Based on Huawei Ascend Platform

亮 韩
article en

Abstract

随着人工智能(AI)技术的迅猛发展,对专业人才的需求日益增长。论文以天津师范大学电子与通信工程学院/人工智能学院与华为昇腾平台的合作为例,探讨国产化AI人才培养模式的研究与实践。论文首先分析了国内外AI人才培养的现状,指出国内教育存在课程体系理论化、实践资源不足等问题;其次,阐述了华为昇腾平台在全面开发支持、高性能计算、开放生态及教育资源整合等方面的技术优势;进而提出“课程体系–教学方法–师资建设–实践平台”的人才培养模式,包括融合昇腾技术的专业课程设计、项目驱动与案例教学法、校企协同的师资培养,以及基于“众智计划”与竞赛的实践体系。实践表明,该模式有效提升了学生的工程能力与国产技术应用水平。With the rapid development of artificial intelligence (AI) technology, the demand for AI professionals has been growing significantly. This paper takes the collaboration between College of Electronic and Communication Engineering/College of Artificial Intelligence of Tianjin Normal University and Huawei’s Ascend platform as a case study to explore the research and practice of cultivating domestic AI talent. The paper first analyzes the current state of AI talent cultivation domestically and internationally, pointing out issues in China’s education system such as overly theoretical curricula and insufficient practical resources. Secondly, it elaborates on the technical advantages of Huawei’s Ascend platform, including comprehensive development support, high-performance computing capabilities, an open ecosystem, and integrated educational resources. Building on this foundation, the paper proposes a talent cultivation model encompassing “curriculum system-teaching methods-faculty development-practical platforms”. This model includes: professional course design integrated with Ascend technology, project-driven and case-based teaching approaches, industry-academia collaborative faculty development, and a practical system based on Huawei’s “Collective Intelligence Plan” and competition platforms. The practice has demonstrated that this model effectively enhances students’ engineering competencies and proficiency in domestic technology applications.

Creative Education StudiesVol. 13(05)
Openalex Percentile: Top 88%
Big Data Technologies and Applications
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